Novel Fuzzy PID-Type Iterative Learning Control for Quadrotor UAV
Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for...
Saved in:
| Published in | Sensors (Basel, Switzerland) Vol. 19; no. 1; p. 24 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
MDPI AG
21.12.2018
MDPI |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft. |
|---|---|
| AbstractList | Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft. Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft.Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and poor anti-interference ability. A novel fuzzy proportional-interactive-derivative (PID)-type iterative learning control (ILC) was designed for a quadrotor unmanned aerial vehicle (UAV). The control method combined PID-ILC control and fuzzy control, so it inherited the robustness to disturbances and system model uncertainties of the ILC control. A new control law based on the PID-ILC algorithm was introduced to solve the problem of chattering caused by an external disturbance in the ILC control alone. Fuzzy control was used to set the PID parameters of three learning gain matrices to restrain the influence of uncertain factors on the system and improve the control precision. The system stability with the new design was verified using Lyapunov stability theory. The Gazebo simulation showed that the proposed design method creates effective ILC controllers for quadrotor aircraft. |
| Author | Dong, Jian He, Bin |
| AuthorAffiliation | College of Electronics and Information Engineering, Tongji University, Shanghai 200000, China; abc1710330@tom.com |
| AuthorAffiliation_xml | – name: College of Electronics and Information Engineering, Tongji University, Shanghai 200000, China; abc1710330@tom.com |
| Author_xml | – sequence: 1 givenname: Jian surname: Dong fullname: Dong, Jian – sequence: 2 givenname: Bin surname: He fullname: He, Bin |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30577657$$D View this record in MEDLINE/PubMed |
| BookMark | eNplkltP2zAUgC0EGpftgT8wReJlPARsx7HjF6SqG1Cpgk2CvVqOc9y5SuPOTiqVX49LAXF58pH9nU_n4kO02_kOEDom-KwoJD6PRGKCMWU76IAwyvKKUrz7Jt5HhzHOE1EURfUF7Re4FIKX4gCNbvwK2uxyeHhYZ78nP_O79RKySQ9B924F2RR06Fw3y8a-64NvM-tD9mfQTfB9iu5Hf7-iPavbCN-ezyN0f_nrbnydT2-vJuPRNDeMyz4vGmOBSiIEoTWDmhoCqR7MdWkwBrCEAdSCEswNFVVtamG15ZxTJi2XUByhydbbeD1Xy-AWOqyV1049XfgwUzr0zrSgGGOc1I2UycjA0lozXWJtOMYCV1In18XWtRzqBTQGUm-6fSd9_9K5f2rmV4qneZOSJ8GPZ0Hw_weIvVq4aKBtdQd-iIqSUsqKV5Il9OQDOvdD6NKoVGqflKIUZEN9f1vRaykvm0rA-RYwwccYwCrj-rSjzVq0axXBavMX1OtfSBmnHzJepJ_ZR4PpsZE |
| CitedBy_id | crossref_primary_10_1016_j_eswa_2024_123852 crossref_primary_10_3390_s24206678 crossref_primary_10_1016_j_mechatronics_2024_103168 crossref_primary_10_3390_robotics8020036 crossref_primary_10_1080_10584587_2020_1859828 crossref_primary_10_3390_app12157775 crossref_primary_10_3390_app13158710 crossref_primary_10_3390_aerospace8050125 crossref_primary_10_1007_s42405_022_00545_5 crossref_primary_10_3390_s21072387 crossref_primary_10_3390_s22062173 crossref_primary_10_3390_drones6090261 crossref_primary_10_1109_ACCESS_2020_3015101 crossref_primary_10_1002_cjce_25051 crossref_primary_10_1016_j_arcontrol_2023_100900 crossref_primary_10_3390_app11062699 crossref_primary_10_3390_electronics10202474 crossref_primary_10_5937_fme2303298S crossref_primary_10_1109_ACCESS_2024_3516494 crossref_primary_10_1016_j_heliyon_2024_e26363 crossref_primary_10_3390_app9183640 crossref_primary_10_3390_electronics9111766 crossref_primary_10_1109_ACCESS_2025_3532743 crossref_primary_10_2514_1_I011398 crossref_primary_10_1038_s41598_024_70681_3 crossref_primary_10_3390_en15051763 crossref_primary_10_2139_ssrn_4354052 crossref_primary_10_3390_machines10010012 crossref_primary_10_1155_2021_6623471 crossref_primary_10_1109_TASE_2021_3137769 crossref_primary_10_3390_s19224854 crossref_primary_10_3390_s20102955 crossref_primary_10_1016_j_conengprac_2021_104763 crossref_primary_10_3390_ma15196840 crossref_primary_10_1007_s42853_019_00035_9 crossref_primary_10_1109_ACCESS_2020_3031326 crossref_primary_10_1177_01423312231185423 crossref_primary_10_3390_s21093086 crossref_primary_10_30931_jetas_629403 crossref_primary_10_3390_robotics9030059 crossref_primary_10_1007_s11276_023_03408_3 crossref_primary_10_3390_en13123223 crossref_primary_10_1155_2021_9825790 crossref_primary_10_12677_JSTA_2024_122020 crossref_primary_10_1177_01423312221099381 crossref_primary_10_3390_s20123474 crossref_primary_10_1007_s42835_019_00257_z crossref_primary_10_1109_ACCESS_2024_3502243 crossref_primary_10_3390_drones7050328 crossref_primary_10_1155_2021_9969268 |
| Cites_doi | 10.1109/TMECH.2018.2855161 10.1109/TIE.2014.2364982 10.1007/s10846-011-9583-3 10.1088/1757-899X/312/1/012002 10.1016/j.conengprac.2010.03.004 10.1049/iet-cta.2015.0221 10.1109/TCST.2014.2327578 10.1145/3192975.3192990 10.1109/TLA.2016.7459596 10.1109/TCST.2014.2330999 10.1109/TCST.2014.2324178 10.1007/s10846-012-9724-3 10.1109/IC3INA.2013.6819157 10.1109/TCST.2014.2341214 10.1002/asjc.587 10.1108/AEAT-04-2015-0096 10.1007/s11771-015-2507-9 10.1016/j.conengprac.2011.06.010 10.1049/iet-cta.2014.1367 10.1108/AEAT-11-2013-0194 10.1080/00207179.2013.804256 10.3390/s17092147 10.1007/s10514-012-9283-2 |
| ContentType | Journal Article |
| Copyright | 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 by the authors. 2018 |
| Copyright_xml | – notice: 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2018 by the authors. 2018 |
| DBID | AAYXX CITATION NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.3390/s19010024 |
| DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database ProQuest Central Premium ProQuest One Academic ProQuest Publicly Available Content ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic PubMed Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1424-8220 |
| ExternalDocumentID | oai_doaj_org_article_44461bd99eeb4ef2ba4a50ac6007089a PMC6339156 30577657 10_3390_s19010024 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61801330 |
| GroupedDBID | --- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS ADRAZ AENEX AFKRA AFZYC ALIPV ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE IPNFZ KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RIG RNS RPM TUS UKHRP XSB ~8M 3V. ABJCF ARAPS HCIFZ KB. M7S NPM PDBOC 7XB 8FK AZQEC DWQXO K9. PJZUB PKEHL PPXIY PQEST PQUKI PRINS 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c469t-3dcfe2917712b4eb2c1e02306a5c00eef14eeb72106c278bcb7faf666249f69e3 |
| IEDL.DBID | M48 |
| ISSN | 1424-8220 |
| IngestDate | Wed Aug 27 01:32:55 EDT 2025 Thu Aug 21 14:02:18 EDT 2025 Fri Jul 11 08:57:28 EDT 2025 Sat Aug 23 12:21:42 EDT 2025 Wed Feb 19 02:33:06 EST 2025 Tue Jul 01 00:41:48 EDT 2025 Thu Apr 24 23:10:24 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | fuzzy control quadrotor unmanned aerial vehicle (UAV) proportional-interactive-derivative (PID) iterative learning control trajectory tracking |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c469t-3dcfe2917712b4eb2c1e02306a5c00eef14eeb72106c278bcb7faf666249f69e3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3390/s19010024 |
| PMID | 30577657 |
| PQID | 2301575714 |
| PQPubID | 2032333 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_44461bd99eeb4ef2ba4a50ac6007089a pubmedcentral_primary_oai_pubmedcentral_nih_gov_6339156 proquest_miscellaneous_2159986894 proquest_journals_2301575714 pubmed_primary_30577657 crossref_citationtrail_10_3390_s19010024 crossref_primary_10_3390_s19010024 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20181221 |
| PublicationDateYYYYMMDD | 2018-12-21 |
| PublicationDate_xml | – month: 12 year: 2018 text: 20181221 day: 21 |
| PublicationDecade | 2010 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland – name: Basel |
| PublicationTitle | Sensors (Basel, Switzerland) |
| PublicationTitleAlternate | Sensors (Basel) |
| PublicationYear | 2018 |
| Publisher | MDPI AG MDPI |
| Publisher_xml | – name: MDPI AG – name: MDPI |
| References | Courbon (ref_15) 2010; 18 Chang (ref_26) 2015; 9 Bolder (ref_16) 2015; 23 Abdolhosseini (ref_4) 2013; 70 ref_12 Park (ref_3) 2015; 23 Jaffery (ref_7) 2013; 86 Dzul (ref_8) 2018; 23 Ortiz (ref_24) 2016; 14 Kostas (ref_6) 2011; 19 Chen (ref_21) 2015; 22 Ermeydan (ref_25) 2017; 89 Schoellig (ref_19) 2012; 33 Bouadi (ref_13) 2008; 4 Alexis (ref_5) 2014; 16 Tao (ref_22) 2016; 31 Liu (ref_17) 2015; 23 Basri (ref_10) 2015; 229 ref_23 ref_20 Jafari (ref_27) 2015; 29 ref_1 Shakev (ref_14) 2012; 65 ref_28 Basri (ref_11) 2015; 87 Ryll (ref_2) 2015; 23 Zhao (ref_9) 2015; 62 Zhu (ref_18) 2015; 9 |
| References_xml | – volume: 23 start-page: 2436 year: 2018 ident: ref_8 article-title: Nonlinear PID-Type Controller for Quadrotor Trajectory Tracking publication-title: IEEE/ASME Trans. Mechatron. doi: 10.1109/TMECH.2018.2855161 – volume: 62 start-page: 2891 year: 2015 ident: ref_9 article-title: Nonlinear Robust Adaptive Tracking Control of a Quadrotor UAV Via Immersion and Invariance Methodology publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2014.2364982 – volume: 65 start-page: 389 year: 2012 ident: ref_14 article-title: Comparative Results on Stabilization of the Quad-rotor Rotorcraft Using Bounded Feedback Controllers publication-title: J. Intell. Robot. Syst. doi: 10.1007/s10846-011-9583-3 – volume: 229 start-page: 2178 year: 2015 ident: ref_10 article-title: A hybrid optimal backstepping and adaptive fuzzy control for autonomous quadrotor helicopter with time-varying disturbance. Proceedings of the Institution of Mechanical Engineers, Part G publication-title: J. Aerosp. Eng. – ident: ref_28 doi: 10.1088/1757-899X/312/1/012002 – volume: 18 start-page: 789 year: 2010 ident: ref_15 article-title: Vision-based navigation of unmanned aerial vehicles publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2010.03.004 – volume: 9 start-page: 2369 year: 2015 ident: ref_26 article-title: Mixed sliding mode fuzzy control for discrete-time non-linear stochastic systems subject to variance and passivity constraints publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2015.0221 – volume: 23 start-page: 722 year: 2015 ident: ref_16 article-title: Rational Basis Functions in Iterative Learning Control-With Experimental Verification on a Motion System publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2014.2327578 – volume: 4 start-page: 12 year: 2008 ident: ref_13 article-title: Sliding m ode control based on backstep pin g approach for an UAV type-quadrotor publication-title: Int. J. Appl. Math. Comput. Sci. – ident: ref_23 doi: 10.1145/3192975.3192990 – volume: 14 start-page: 1176 year: 2016 ident: ref_24 article-title: Nonlinear Robust H-Infinity PID Controller for the Multivariable System Quadrotor publication-title: IEEE Lat. Am. Trans. doi: 10.1109/TLA.2016.7459596 – volume: 23 start-page: 540 year: 2015 ident: ref_2 article-title: A Novel Overactuated Quadrotor Unmanned Aerial Vehicle: Modeling, Control, and Experimental Validation publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2014.2330999 – volume: 23 start-page: 805 year: 2015 ident: ref_17 article-title: Second-Order Iterative Learning Control for Scaled Setpoints publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2014.2324178 – volume: 70 start-page: 27 year: 2013 ident: ref_4 article-title: An Efficient Model Predictive Control Scheme for an Unmanned Quadrotor Helicopter publication-title: J. Intell. Robot. Syst. Theory Appl. doi: 10.1007/s10846-012-9724-3 – ident: ref_12 doi: 10.1109/IC3INA.2013.6819157 – volume: 23 start-page: 488 year: 2015 ident: ref_3 article-title: Landing Site Searching and Selection Algorithm Development Using Vision System and Its Application to Quadrotor publication-title: IEEE Trans. Control Syst. Technol. doi: 10.1109/TCST.2014.2341214 – volume: 16 start-page: 209 year: 2014 ident: ref_5 article-title: On trajectory tracking model predictive control of an unmanned quadrotor helicopter subject to aerodynamic disturbances publication-title: Asian J. Control doi: 10.1002/asjc.587 – volume: 89 start-page: 468 year: 2017 ident: ref_25 article-title: Fault tolerant control against actuator faults based on enhanced PID controller for a quadrotor publication-title: Aircr. Eng. Aerosp. Technol. doi: 10.1108/AEAT-04-2015-0096 – volume: 22 start-page: 168 year: 2015 ident: ref_21 article-title: Decentralized PID neural network control for a quadrotor helicopter subjected to wind disturbance publication-title: J. Cent. South Univ. doi: 10.1007/s11771-015-2507-9 – volume: 19 start-page: 1195 year: 2011 ident: ref_6 article-title: Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances publication-title: Control Eng. Pract. doi: 10.1016/j.conengprac.2011.06.010 – volume: 9 start-page: 2305 year: 2015 ident: ref_18 article-title: Iterative learning control design method for linear discrete-time uncertain systems with iteratively periodic factors publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2014.1367 – volume: 87 start-page: 493 year: 2015 ident: ref_11 article-title: GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous quadrotor UAV publication-title: Aircr. Eng. Aerosp. Technol. doi: 10.1108/AEAT-11-2013-0194 – volume: 29 start-page: 1229 year: 2015 ident: ref_27 article-title: Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations publication-title: J. Intell. Fuzzy Syst. Appl. Eng. Technol. – volume: 31 start-page: 2975 year: 2016 ident: ref_22 article-title: A PID and fuzzy logic based method for Quadrotor aircraft control motion publication-title: J. Intel. Fuzzy Syst. Appl. Eng. Technol. – volume: 86 start-page: 2189 year: 2013 ident: ref_7 article-title: Experimental quadrotor flight performance using computationally efficient and recursively feasible linear model predictive control publication-title: Int. J. Control doi: 10.1080/00207179.2013.804256 – ident: ref_20 – ident: ref_1 doi: 10.3390/s17092147 – volume: 33 start-page: 103 year: 2012 ident: ref_19 article-title: Optimization-based iterative learning for precise quadrocopter trajectory tracking publication-title: Auton. Robot. doi: 10.1007/s10514-012-9283-2 |
| SSID | ssj0023338 |
| Score | 2.471715 |
| Snippet | Due to the under-actuated and strong coupling characteristics of quadrotor aircraft, traditional trajectory tracking methods have low control precision, and... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 24 |
| SubjectTerms | Aircraft Control algorithms Controllers Distance learning fuzzy control International conferences iterative learning control proportional-interactive-derivative (PID) quadrotor unmanned aerial vehicle (UAV) Systems stability trajectory tracking Unmanned aerial vehicles Velocity |
| SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrZ3PS8MwFMeDeNKD-NvplCgevJQ1aZY0xzkdU3AoONmt5KcK0olugv71vrRd2UTw4rV50PS9Ju996Os3CJ0KQ03CLKxvZ2nECCORtC50AHgtPYGM5MO_wzcD3h-y61F7NHfUV-gJK-WBS8e1GPAK0VZK5zRznmrFVDtWJuiqx6ksSiPIeTOYqlArAfIqdYQSgPrWe0h7IR0tZJ9CpP-3yvJng-Rcxumto7WqVMSdcoobaMnlm2h1TkBwC3UG4w_3gnvTr69PfHt1EQWsxFeFUjJsY7hST33E3bIjHUOJiu-myr6NgbXxsPOwjYa9y_tuP6oORYgMkOwkSqzxjgJkCULBIZoa4gqOUG0Tx855wsBTwHUxN1Sk2mjhlQdIAc7yXLpkBy3n49ztIayVFIpxy6kBbjGxZhZAORbeJtozrxvobOaszFSK4eHgipcMyCH4Nav92kAntelrKZPxm9F58HhtEJStiwsQ76yKd_ZXvBuoOYtXVi239wyen0DdKQjc47gehoUSvn6o3I2nYAOFm0x5KsFmtwxvPRPY9ITgbdFAYiHwC1NdHMmfnwoxbp4EiX2-_x_PdoBWoB5LQ7cMJU20PHmbukOoeSb6qHi9vwFsZv_a priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5BucAB8SalIIM4cIkaJ147PqGlsLRIVCCxqLfIz4JUJe0-kOivZybxhi6quMZzcGY8j8-ZfAPwWrnSVcKjfwdf5oILnmsfqAMgWh05ZqRI_w5_PpaHc_HpZHKSLtyWqa1yExP7QO07R3fk-1gqcywtFBdvzy9ymhpFX1fTCI2bcItjpqGWrnr2cQRcFeKvgU2oQmi_v6TkR0lpKwf1VP3X1Zf_tkleyTuze3A3FYxsOlj4PtwI7QO4c4VG8CFMj7tf4YzN1peXv9mXo_c5gUt21PMlYzBjiUP1lB0MfekMC1X2dW38okPEzebT749gPvvw7eAwT6MRcod4dpVX3sVQItRSvLQC0bHjoUcTZuKKIoTIRQgW0V0hXalq66yKJiJUQbQVpQ7VY9hpuzY8BWaNVkZIL0uH6MUVVniEy4WKvrJRRJvBm42yGpd4w2l8xVmD-IH02ox6zeDVKHo-kGVcJ_SOND4KEL91_6BbnDbJXRqBKJVbrzW-hQixtEaYSWEcsekXtTYZ7G3s1SSnWzZ_j0gGL8dldBf6BmLa0K1RBss3Xctao8yTwbzjTjD0KSUnKgO1ZfitrW6vtD9_9JTcsiKifbn7_209g9tYb9XUDVPyPdhZLdbhOdY0K_uiP7h_AHIr9ug priority: 102 providerName: ProQuest |
| Title | Novel Fuzzy PID-Type Iterative Learning Control for Quadrotor UAV |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/30577657 https://www.proquest.com/docview/2301575714 https://www.proquest.com/docview/2159986894 https://pubmed.ncbi.nlm.nih.gov/PMC6339156 https://doaj.org/article/44461bd99eeb4ef2ba4a50ac6007089a |
| Volume | 19 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ3Pb9MwFMef9uMCB8RvCqMyiAOXQOy4dnxAqBsrG9KqgSjqLfLPgVQl0LWI7a_nOUmjBVVcckieFPs59nufxPk-gFfSMptxh_PbO5ZwymminI87AIJRgWJECvHf4bOpOJnxT_PRfAc2NTZbB15uRbtYT2q2XLz58-vqPU74d5E4EdnfXsagFoPNLuxjQJKxkMEZ7z4msAwxrBEV6pv3QlGt2L8tzfx3t-SN8DO5C3favJGMm4G-Bzu-vA-3b6gJPoDxtPrtF2Syvr6-IuenH5LImOS0lk3GNY20UqoX5KjZnk4wXyWf19otKwRvMht_ewizyfHXo5OkrZCQWMTaVZI5GzxD4pKUGY6QbKmvoUKPbJp6Hyj33iDkpcIymRtrZNABiQWhKwjls0ewV1alfwLEaCU1F04wixBjU8MdUnMqg8tM4MEM4PXGWYVt5cNjFYtFgRgR_Vp0fh3Ay870Z6OZsc3oMHq8M4gy1_WJanlRtLOm4Air1DilsBfcB2Y016NU2yiqn-ZKD-BgM17F5tEpsP8Uk1BJ8R4vuss4a-KnEF36ao02mMWpXOQKbR43w9u1BFdAKcVIDkD2Br7X1P6V8sf3WplbZFFvXzz9f7OewS1Mu_K4KYbRA9hbLdf-OaY2KzOEXTmXeMwnH4ewf3g8Pf8yrF8TDOtH-i8ND_yp |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VcoAeEO8GChgEEpeoseONkwOqlpZll7YrkLqot-BnW6lKyj5A7Y_qb2ScF11Ucet1PYqcscfzfZvxNwBvhWY65gbj2xoWcsppmBnrKwCcyhzFjOT83eH9cTKc8C-HvcMVuGzvwviyyvZMrA5qU2r_H_kmQmWK0EJQvnX2M_Rdo_zX1baFRr0tdu35b6Rssw-jHVzfd4wNPh1sD8Omq0CokQrOw9hoZxmyFEGZ4kgsNbUVEJc9HUXWOsqtVUiMokQzkSqthJMOUT4SFZdkNsbn3oLbPMZM7m-mDz53BC9GvlerF-FgtDnzydYnwaWcV7UGuA7P_luWeSXPDe7DvQagkn69ox7Aii0ewtoV2cJH0B-Xv-wpGSwuLs7J19FO6MksGVX6zHh4kkaz9Yhs13XwBIEx-baQZloiwyeT_vfHMLkRpz2B1aIs7DoQJTMheWISppEt6Uhxg_Q8Es7EynGnAnjfOivXjU65b5dxmiNf8X7NO78G8KYzPavFOa4z-ug93hl4Pe3qh3J6lDfhmXNkxVSZLMO34NYxJbnsRVJ79f4ozWQAG-165U2Qz_K_WzKA190whqf_5iILWy7QBuFiliZphjZP6-XtZoJHrRBJTwQglhZ-aarLI8XJcSUBnsRe2D959v9pvYI7w4P9vXxvNN59DncR66W-EofRDVidTxf2BeKpuXpZbWICP246av4AbBc0WQ |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VVEJwQLxJKbAgkLhYsdcbr_eAUNo0aihEARHUm7vPUqmySx6g9qfx65j1iwZV3Hq1R9Z6dmfn-7zjbwBec011zAzGtzU0YBGLAmGsrwBwSrgIM5Lz_w5_miT7M_bhsH-4Ab-bf2F8WWWzJ5YbtSm0_0beQ6gcIbTgEeu5uixiOhy9P_sR-A5S_qS1aadRLZEDe_4L6dvi3XiIc_2G0tHe1939oO4wEGikhcsgNtpZioyFR1QxJJk6siUol30dhta6iFmrkCSFiaY8VVpxJx0ifiQtLhE2xufegE3uWVEHNnf2JtMvLd2Lkf1VWkZxLMLewqdenxLXMmDZKOAqdPtvkealrDe6C3dquEoG1fq6Bxs2vw-3L4kYPoDBpPhpT8lodXFxTqbjYeCpLRmXas24lZJawfWY7FZV8QRhMvm8kmZeIN8ns8G3hzC7Frc9gk5e5PYJECUFlywxCdXInXSomEGyHnJnYuWYU1142zgr07VquW-ecZohe_F-zVq_duFVa3pWSXVcZbTjPd4aeHXt8kIxP87qYM0YcuRIGSHwLZh1VEkm-6HUXss_TIXswnYzX1kd8ovs7wLtwsv2NgarP4GRuS1WaIPgUaRJKtDmcTW97Uhw4-U86fMu8LWJXxvq-p385HspCJ7EXuY_2fr_sF7ATYyY7ON4cvAUbiHwS31ZDo22obOcr-wzBFdL9bxexQSOrjtw_gC9bTnr |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Novel+Fuzzy+PID-Type+Iterative+Learning+Control+for+Quadrotor+UAV&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Dong%2C+Jian&rft.au=He%2C+Bin&rft.date=2018-12-21&rft.pub=MDPI+AG&rft.eissn=1424-8220&rft.volume=19&rft.issue=1&rft_id=info:doi/10.3390%2Fs19010024&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon |